Home > Uncategorized > Weekly QuEST Discussion Topics and News, 5 Dec

Weekly QuEST Discussion Topics and News, 5 Dec

QuEST Discussion Topics for 5 Dec 2014

As a reminder the first QuEST meeting of any calendar year we dedicate to the Kabrisky Memorial Lecture.  One of the original founding members of our group suggested early on the first meeting of each calendar year we give a fresh over view of “What is QuEST.”  In preparation of the Kabrisky Memorial Lecture I am spending our remaining meetings of this calendar year to review some of the material we’ve hit throughout the year for consideration for inclusion in our overview Kabrisky lecture.  Keep in mind the goal of the Kabrisky lecture is to have a single overview talk that doesn’t explain all the details of our material but provides the insights for someone from the outside so they can get an understanding of our effort without any background in our jargon.  So I invite everyone to pick through your notes / the blog and bring up things you want us to consider as important points that should be included in the “What is QuEST – Kabrisky Memorial Lecture”.  Specifically we want to ensure the overview talk captures most of the ideas of QuEST maybe without all the details.  So this week we will review topics from Apr-Jun 2014.  Another use of the discussion is to generate a list of topics we want to have meetings dedicated to in the new year so if you have topics or they occur during the meetings jot them down and let us know.

Some example topics I’ve been reviewing for consideration:

Blending – the term we use to capture the idea that we believe that decisions are made as some form of blending between multiple processes (Type 1 and Type 2) and even those are not distinct – but the cognitive conclusions are probably some blended form of insights from the multiple competing processes.  As an example Hammond presented a set of axes that might help engineer when one set of processes should dominate versus the other.

There was a set of work by Luis von Ahn of CMU – since we had previously covered CAPTCHAs – his work including the ESP game etc provided us insights into human cognition –

We spend some effort discussing big data – and QuEST perspectives of big data – so we would like to review some of our walk-aways from those discussions – specifically meaning and meaning making and relations to meta data –

Meaning – although part of the big data discussion – I wanted to list meaning as a real topic of interest – a Theory of meaning – was central to many discussions this year – there was some work by De La Cruz on ‘Making fingers and words count in a cognitive robot’ – provided insights into how humans develop meaning – so I want to review that – there was the work by Louise Connell on embodied conceptual combination – a potential approach to abstraction – and then there was the work by Grill-Spector on visual recognition = what is the series of steps involved in object recognition –

The meaning discussions also brought back up the role of ‘context’ – so we want to revisit our ideas we discussed on context – and that has the relation to sensemaking –

There was considerable discussion on dreaming / sedation / hypnosis … –

I realize there are far too many topics above – but keep in mind the goal of this discussion is to pick out the important points that need to be captured in our overview ‘what is Quest’ presentation – that any of us can give

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